Acrolinx

Author: jeannt

docs/advanced-analytics/known-issues-for-sql-server-machine-learning-services.md

@@ -71,9 +71,9 @@ To avoid problems with R packages, you can also upgrade the version of the R lib
 
 A limited number of Azure virtual machines were provisioned without the R installation files that should be included with SQL Server. The issue applies to virtual machines provisioned in the period from 2018-01-05 to 2018-01-23. This issue might also affect on-premises installations, if you applied the CU3 update for SQL Server 2017 during the period from 2018-01-05 to 2018-01-23.
 
-A service release has been provided that includes the correct version of the R installation files. 
+A service release has been provided that includes the correct version of the R installation files.
 
-+ [Cumulative Update Package 3 for SQL Server 2017 - KB4052987 ](https://www.microsoft.com/en-us/download/details.aspx?id=56128).
++ [Cumulative Update Package 3 for SQL Server 2017 KB4052987](https://www.microsoft.com/en-us/download/details.aspx?id=56128).
 
 To install the components and repair SQL Server 2017 CU3, you must uninstall CU3, and reinstall the updated version:
 
@@ -91,7 +91,7 @@ This issue is fixed in the release version. Also, this limitation does not apply
 
 ### <a name="bkmk_sqlbindr"></a> Warning of incompatible version when you connect to an older version of SQL Server R Services from a client by using [!INCLUDE[ssSQLv14_md](../includes/sssqlv14-md.md)]
 
-When you run R code in a SQL Server 2016 compute context, you might see an error like the following:
+When you run R code in a SQL Server 2016 compute context, you might see the following error:
 
 > *You are running version 9.0.0 of Microsoft R Client on your computer, which is incompatible with the Microsoft R Server version 8.0.3. Download and install a compatible version.*
 
@@ -180,13 +180,13 @@ For additional known issues that might affect R solutions, see the [Machine Lear
 
 If the instance of SQL Server has been installed to a non-default location, such as outside the `Program Files` folder, the warning ACCESS_DENIED is raised when you try to run scripts that install a package. For example:
 
-> *In normalizePath(path.expand(path), winslash, mustWork) : path[2]="~ExternalLibraries/R/8/1": Access is denied*
+> *In `normalizePath(path.expand(path), winslash, mustWork)` : path[2]="~ExternalLibraries/R/8/1": Access is denied*
 
 The reason is that an R function attempts to read the path, and fails if the built-in users group **SQLRUserGroup**, does not have read access. The warning that is raised does not block execution of the current R script, but the warning might recur repeatedly whenever the user runs any other R script.
 
 If you have installed SQL Server to the default location, this error does not occur, because all Windows users have read permissions on the `Program Files` folder.
 
-This issue will be addressed in an upcoming service release. As a workaround, provide the group, **SQLRUserGroup**, with read access for all parent folders of `ExternalLibraries`.
+This issue ia addressed in an upcoming service release. As a workaround, provide the group, **SQLRUserGroup**, with read access for all parent folders of `ExternalLibraries`.
 
 ### Serialization error between old and new versions of RevoScaleR
 
@@ -202,13 +202,13 @@ The error does not appear if the API version is the same, or if you are moving a
 
 In other words, use the same version of RevoScaleR for both serialization and deserialization operations.
 
-### Real-time scoring does not correctly handle the learningRate parameter in tree and forest models
+### Real-time scoring does not correctly handle the _learningRate_ parameter in tree and forest models
 
 If you create a model using a decision tree or decision forest method and specify the learning rate, you might see inconsistent results when using `sp_rxpredict` or the SQL `PREDICT` function, as compared to using `rxPredict`.
 
 The cause is an error in the API that processes serialized models, and is limited to the `learningRate` parameter: for example, in [rxBTrees](https://docs.microsoft.com/machine-learning-server/r-reference/revoscaler/rxbtrees), or
 
-This issue will be fixed in an upcoming service release.
+This issue is addressed in an upcoming service release.
 
 ### Limitations on processor affinity for R jobs
 
@@ -386,7 +386,7 @@ There are several potential workarounds:
 
 + When you install the pretrained models, choose a custom location.
 + If possible, install the SQL Server instance under a custom installation path with a shorter path, such as C:\SQL\MSSQL14.MSSQLSERVER.
-+ Use the Windows utility [Fsutil](https://technet.microsoft.com/library/cc788097(v=ws.11).aspx) to create a hardlink that maps the model file to a shorter path. 
++ Use the Windows utility [Fsutil](https://technet.microsoft.com/library/cc788097(v=ws.11).aspx) to create a hard link that maps the model file to a shorter path.
 + Update to the latest service release.
 
 ### Error when saving serialized model to SQL Server